Finite impulse response low-pass digital filter based on particle swarm optimisation for image denoising Online publication date: Wed, 24-Feb-2021
by Peng Shao; Le Yang; Xing Li
International Journal of Wireless and Mobile Computing (IJWMC), Vol. 20, No. 1, 2021
Abstract: Noise has very important influence on image quality. Finite Impulse Response (FIR) digital filter is an effective technique for removing image noise. The effectiveness of FIR digital filters designed by traditional methods in image denoising needs to be improved further because of their demerits such as lower accuracy. Therefore, to suppress noise and improve image quality, FIR low-pass digital filter designed by the improved particle swarm optimisation algorithm based on refraction principle (refrPSO) is employed. In the method, firstly, coefficients of FIR low-pass digital filter are mapped to a candidate solution of refrPSO, and then refrPSO is invoked to optimise it. Finally, the designed FIR low-pass digital filter is employed to denoise images. Experimental results of two images with different sizes show that the FIR digital filter designed by refrPSO has better image denoising effect compared with ones designed by window function method, best equivalent ripple approximation method, and PSO.
Online publication date: Wed, 24-Feb-2021
If you are not a subscriber and you just want to read the full contents of this article, buy online access here.Complimentary Subscribers, Editors or Members of the Editorial Board of the International Journal of Wireless and Mobile Computing (IJWMC):
Login with your Inderscience username and password:
Want to subscribe?
A subscription gives you complete access to all articles in the current issue, as well as to all articles in the previous three years (where applicable). See our Orders page to subscribe.
If you still need assistance, please email firstname.lastname@example.org